Machine Learning Engineer, Ranking & Retrieval
ClickUp · Remote · United States ·
COMPENSATION
$200k – $250k
Listed on the employer's job board (Ashby)
- Fully remote
- Senior level
- ML Engineering
- Search & Retrieval
- Visa possible
You will join the Search team to develop ML systems that power search relevance for millions of users. Your work ensures AI features are grounded in the correct context by managing permissions-aware retrieval and large-scale indexing.
The role requires owning the entire machine learning lifecycle, from training models to deploying them in production. You will design hybrid retrieval systems combining lexical and vector search to improve query understanding and result quality.
What you'll do
- Own the full ML lifecycle including training, deployment, and serving
- Build ranker features, training pipelines, and offline evaluation frameworks
- Design hybrid retrieval systems using lexical and vector search
- Scale embedding inference to handle billions of documents
- Improve query understanding via intent modeling and expansion
- Implement permissions-aware retrieval for multi-tenant environments
- Create frameworks to measure and enhance search quality
- Collaborate with infrastructure and backend teams on integration
What you'll need
- Bachelor's degree in Computer Science, ML, or related field
- 5+ years of ML engineering experience in ranking or retrieval
- Proven track record of owning full ML lifecycle in production
- Experience with feature engineering and offline evaluation
- Background in building hybrid lexical and vector retrieval systems
- Ability to run embedding inference at large scale
- Strong fundamentals in query understanding and intent modeling
Nice to have
- Experience with permission-aware retrieval and multi-tenancy
- Background indexing large-scale user-generated content
- Hands-on experience with OpenSearch or Elasticsearch
- Knowledge of sharding, index management, and real-time ingestion
- Expertise in NLP, semantic search, or agentic retrieval
- Experience using TypeScript in backend systems
Stack
- OpenSearch
- Elasticsearch
- TypeScript
- HNSW
How you'll work
- Fully remote position
- AI fluency evaluated during hiring
What you get
- Equal Opportunity Employer
- Visa sponsorship considered for engineering roles based on need